TY - GEN
T1 - Generalized Likelihood Ratio Test Performance for Cooperative Radar-Communications
AU - Richmond, Christ
PY - 2019/2/19
Y1 - 2019/2/19
N2 - The performance of generalized likelihood ratio tests (GLRT) in radar detection is a well-studied subject, as is the performance of a maximum-likelihood decoder for a communication (comm.) receiver. The theoretical analysis of a cooperative radar-comm. receiver, however, remains an open problem. A radar cooperating with a spectrally coexistent communications system must decode/demodulate the coexistent comm. signal in order to conduct usual radar functions (target detection, classification, localization and tracking). This preliminary comm. signal cancellation is inherent in the GLRT where the decoding is accomplished via two nonlinear searches over the codebook; thus, rendering theoretical performance analyses highly nontrivial. It has been shown nonetheless that when the comm. signal is very strong, or very weak that radar performance is well-approximated with known results. If only moderate-to-weak, however, the comm. signal can be difficult to decode with residuals and channel estimation errors that interfere with radar operations. This paper will explore use of the saddlepoint method to predict receiver operating characteristics of the cooperative radar under such non-ideal conditions.
AB - The performance of generalized likelihood ratio tests (GLRT) in radar detection is a well-studied subject, as is the performance of a maximum-likelihood decoder for a communication (comm.) receiver. The theoretical analysis of a cooperative radar-comm. receiver, however, remains an open problem. A radar cooperating with a spectrally coexistent communications system must decode/demodulate the coexistent comm. signal in order to conduct usual radar functions (target detection, classification, localization and tracking). This preliminary comm. signal cancellation is inherent in the GLRT where the decoding is accomplished via two nonlinear searches over the codebook; thus, rendering theoretical performance analyses highly nontrivial. It has been shown nonetheless that when the comm. signal is very strong, or very weak that radar performance is well-approximated with known results. If only moderate-to-weak, however, the comm. signal can be difficult to decode with residuals and channel estimation errors that interfere with radar operations. This paper will explore use of the saddlepoint method to predict receiver operating characteristics of the cooperative radar under such non-ideal conditions.
UR - http://www.scopus.com/inward/record.url?scp=85062976752&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062976752&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2018.8645249
DO - 10.1109/ACSSC.2018.8645249
M3 - Conference contribution
AN - SCOPUS:85062976752
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 957
EP - 961
BT - Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
Y2 - 28 October 2018 through 31 October 2018
ER -